Data Engineer | Energy & Commodities Trading | Greenfield Data Transformation | £85,000 + Bonus & Benefits | Hybrid London
Data Engineer required for a global Energy & Commodities Trading organisation, supporting a greenfield data transformation programme within a fast-growing and highly commercial trading environment. This is an exciting opportunity to join a core engineering team responsible for shaping and delivering a scalable, enterprise-grade data platform. You will play a key role in building modern data capabilities that support trading, PnL analysis, market data processing, and strategic investment decisions. Working within a small but highly skilled team, this is a hands-on role with significant influence over architecture, tooling, and engineering standards.
The Opportunity
As Data Engineer, you will:
* Design, develop, and maintain scalable cloud-based data platforms
* Build and optimise data pipelines for batch and real-time data processing
* Support the adoption and implementation of Azure Databricks across the organisation
* Process and integrate market and trading data to support analytics and reporting
* Develop robust data models aligned to trading and operational workflows
* Ensure performance optimisation, data lineage, auditability, and governance controls
* Partner with the Head of Core Engineering and wider technology teams to align data strategy with business growth objectives
* Integrate data platforms with front-end BI tools such as Power BI and Tableau
This role forms part of a broader Azure-focused transformation, assessing key platform features and implementing scalable, production-ready solutions.
Technology Environment
You will be working across a modern Azure data stack, including:
* Azure Databricks
* Azure Data Factory (ADF)
* Synapse / Fabric
* Snowflake
* Python & PySpark
* SQL
* DevOps & CI/CD tooling within Azure
Experience Required:
* Strong experience in modern data engineering within trading or financial services (energy/commodities experience highly desirable)
* Deep hands-on experience with Azure Databricks
* Strong Python programming capability (including PySpark)
* Advanced SQL skills
* Experience building and orchestrating scalable data pipelines
* Strong understanding of data modelling and architecture principles
* Familiarity integrating data platforms with Power BI and/or Tableau
* Appreciation for data governance, auditability, and regulatory considerations
Kep Points:
Up to £85,000 + Bonus & Benefits
London – Hybrid (3 days per week onsite)
If you are interested in this Data Engineer opportunity, please respond with your latest CV and contact details for immediate consideration, or email directly to toby@virtuetech.io.